Intellectual Property India Publishes Patent Application for 'Hybrid Explainable AI Framework For Telecom Customer Churn Prediction And Retention Optimization' Filed by Sri Krishna College Of Engineering And Technology

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061989 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on May 15, for 'hybrid explainable ai framework for telecom customer churn prediction and retention optimization.'

Inventor(s) include Aruna N; Ashwin S; Ashwin Vikram M; Gowtham S; and Ashok Kanna R.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "Hybrid Explainable AI-Based System and Method for Telecom Customer Churn Prediction and Retention Abstract The present invention discloses a hybrid explainable artificial intelligence-based system and method (100) for predicting customer churn and enabling proactive retention in the telecommunication industry. The system comprises a telecom customer data source (110), a data preprocessing module (120), and a hybrid predictive modelling module (130) including an artificial neural network (131) and traditional machine learning models (132). The system further includes an explainability module (140) utilizing SHAP and LIME techniques (141) to interpret prediction outcomes, and a churn probability scoring unit (150) for determining customer risk levels. A customer feedback integration module (160) incorporating preference inputs (161) is provided to enhance personalization. A plan recommendation engine (170) including a retention strategy generator (171) generates customized retention actions, which are executed through a CRM interface (180). The invention improves prediction accuracy, transparency, and customer-specific retention efficiency."

Disclaimer: Curated by HT Syndication.